As enterprises rush to deploy internal LLMs, AI copilots, and autonomous agents, most security conversations focus on familiar threats: prompt injection, jailbreaks, model abuse, and data exfiltration. But some security leaders argue a quieter risk deserves far more attention: what happens when the model’s understanding of reality itself becomes corrupted. This problem is broadly described…
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MCP Servers Expose a Hidden AI Attack Surface in Enterprise Environments
As enterprises rush to integrate AI assistants into daily workflows, a new and potentially overlooked attack surface is emerging: Model Context Protocol (MCP) servers. Built to connect AI applications to external tools and data, MCP servers can be exploited to execute code, exfiltrate data and manipulate users — often without visible signs of compromise. Attackers…